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Record W1988919671 · doi:10.1149/1.2753276

Fabrication of Chitosan-Hydroxyapatite Coatings for Biomedical Applications

2007· article· en· W1988919671 on OpenAlex
Igor Zhitomirsky, Xin Pang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2007
Typearticle
Languageen
FieldEngineering
TopicElectrophoretic Deposition in Materials Science
Canadian institutionsMcMaster University
Fundersnot available
KeywordsElectrophoretic depositionMaterials scienceFabricationChitosanCathodic protectionNanocompositeDeposition (geology)MicrostructureComposite numberCorrosionChemical engineeringCoatingNanoparticleMetallurgyComposite materialNanotechnologyElectrochemistryChemistryElectrode

Abstract

fetched live from OpenAlex

An electrophoretic deposition (EPD) method has been developed for the fabrication of nanocomposite hydroxyapatite (HA) - chitosan coatings. Cathodic deposits were obtained on various conductive substrates using suspensions of HA nanoparticles in chitosan solutions. The deposition yield has been studied at various deposition conditions. The method enabled the formation of coatings of different thicknesses in the range of up to 50 μm. The deposit composition and microstructure can be varied by the variation of HA concentration in the suspensions. The method enabled the deposition of HA-chitosan coatings containing Ag particles with antimicrobial properties. It was demonstrated that the composite materials can be deposited as monolayers or coatings of graded compositions. The coatings provided corrosion protection of the 316L stainless steel substrates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.227
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it